IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v5y2021i7p15-24.html
   My bibliography  Save this article

Media and Information Literacy: A Critical Response to the Challenge of ‘Infodemic’ in the Covid-19 Pandemic Era in Nigeria

Author

Listed:
  • Elizabeth Titilayo Aduloju, Ph.D

    (Catholic Institute of West Africa, Nigeria)

Abstract

Nigeria, the most populous country in Africa is not left out in the fight against the COVID-19 outbreak that continues to ravage the entire universe. The deadly virus as of 26th June 2021 has infected more than 181.3 million people and killed over 3.9 million people globally. In Nigeria alone, it has infected over 167 thousand people and killed 2,119 people between February 27th, the day the first case was recorded and 26th June 2021. Unfortunately, as the virus continues to spread worldwide, there is also a rapid increase in the rate of infodemic – information overload majority of which are fake, disinformation and misinformation – about the virus, its transmission and cure. Thus, this paper interrogates the present reality of the infodemic in Nigeria, especially in the present COVID-19 pandemic and the vision of media and information literacy. The problem concerned the extent to which infodemic could precariously engineer crisis, disgust, fear, hostility and panic which might degenerate to conflict, insecurity, stigmatisation and eventual death. Combining textual analysis with receptor oriented, the article critically examined the social media platform posts and activities in this domain. Major findings apart from revealing that the free and unlimited access to information on social media platforms have been the active driver of the current experience, also showed that the inability of people to discern the veracity and authenticity of information within the context of the COVID-19 pandemic have made many vulnerable. Thus, the present article concluded that media and information literacy is a necessity in fighting the challenge of infodemic in Nigeria and promoting healthy information in media and technological environments. Therefore, among others, the introduction of media and information literacy to both literate and illiterate sectors of society is recommended.

Suggested Citation

  • Elizabeth Titilayo Aduloju, Ph.D, 2021. "Media and Information Literacy: A Critical Response to the Challenge of ‘Infodemic’ in the Covid-19 Pandemic Era in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(7), pages 15-24, July.
  • Handle: RePEc:bcp:journl:v:5:y:2021:i:7:p:15-24
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-5-issue-7/15-24.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/virtual-library/papers/media-and-information-literacy-a-critical-response-to-the-challenge-of-infodemic-in-the-covid-19-pandemic-era-in-nigeria/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alessandro Bessi & Mauro Coletto & George Alexandru Davidescu & Antonio Scala & Guido Caldarelli & Walter Quattrociocchi, 2015. "Science vs Conspiracy: Collective Narratives in the Age of Misinformation," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-17, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Casey A. Klofstad & Joseph E. Uscinski & Jennifer M. Connolly & Jonathan P. West, 2019. "What drives people to believe in Zika conspiracy theories?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    2. Bertrand Jayles & Ramon Escobedo & Stéphane Cezera & Adrien Blanchet & Tatsuya Kameda & Clément Sire & Guy Théraulaz, 2020. "The impact of incorrect social information on collective wisdom in human groups," Post-Print hal-03019820, HAL.
    3. Carlos Carrasco-Farré, 2022. "The fingerprints of misinformation: how deceptive content differs from reliable sources in terms of cognitive effort and appeal to emotions," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-18, December.
    4. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    5. Marcella Tambuscio & Diego F. M. Oliveira & Giovanni Luca Ciampaglia & Giancarlo Ruffo, 2018. "Network segregation in a model of misinformation and fact-checking," Journal of Computational Social Science, Springer, vol. 1(2), pages 261-275, September.
    6. Antonio Parravano & Ascensión Andina-Díaz & Miguel A Meléndez-Jiménez, 2016. "Bounded Confidence under Preferential Flip: A Coupled Dynamics of Structural Balance and Opinions," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-23, October.
    7. Jonas R. Kunst & Aleksander B. Gundersen & Izabela Krysińska & Jan Piasecki & Tomi Wójtowicz & Rafal Rygula & Sander van der Linden & Mikolaj Morzy, 2024. "Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    8. Juan Miguel Carrascosa & Ruben Cuevas & Roberto Gonzalez & Arturo Azcorra & David Garcia, 2015. "Quantifying the Economic and Cultural Biases of Social Media through Trending Topics," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-14, July.
    9. Vivek K. Singh & Isha Ghosh & Darshan Sonagara, 2021. "Detecting fake news stories via multimodal analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 3-17, January.
    10. Olga Papadopoulou & Evangelia Kartsounidou & Symeon Papadopoulos, 2022. "COVID-Related Misinformation Migration to BitChute and Odysee," Future Internet, MDPI, vol. 14(12), pages 1-22, November.
    11. Shadi Shahsavari & Pavan Holur & Tianyi Wang & Timothy R. Tangherlini & Vwani Roychowdhury, 2020. "Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news," Journal of Computational Social Science, Springer, vol. 3(2), pages 279-317, November.
    12. Vincenza Carchiolo & Alessandro Longheu & Michele Malgeri & Giuseppe Mangioni & Marialaura Previti, 2021. "Mutual Influence of Users Credibility and News Spreading in Online Social Networks," Future Internet, MDPI, vol. 13(5), pages 1-15, April.
    13. Corentin Vande Kerckhove & Samuel Martin & Pascal Gend & Peter J Rentfrow & Julien M Hendrickx & Vincent D Blondel, 2016. "Modelling Influence and Opinion Evolution in Online Collective Behaviour," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-25, June.
    14. Kateryna Wowk & Larry McKinney & Frank Muller-Karger & Russell Moll & Susan Avery & Elva Escobar-Briones & David Yoskowitz & Richard McLaughlin, 2017. "Evolving academic culture to meet societal needs," Palgrave Communications, Palgrave Macmillan, vol. 3(1), pages 1-7, December.
    15. Bessi, Alessandro, 2017. "On the statistical properties of viral misinformation in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 459-470.
    16. Salman Bin Naeem & Maged N. Kamel Boulos, 2021. "COVID-19 Misinformation Online and Health Literacy: A Brief Overview," IJERPH, MDPI, vol. 18(15), pages 1-12, July.
    17. Pérez-Martínez, H. & Bauzá Mingueza, F. & Soriano-Paños, D. & Gómez-Gardeñes, J. & Floría, L.M., 2023. "Polarized opinion states in static networks driven by limited information horizons," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    18. Jayles, Bertrand & Escobedo, Ramon & Cezera, Stéphane & Blanchet, Adrien & Kameda, Tatsuya & Sire, Clément & Théraulaz, Guy, 2020. "The impact of incorrect social information on collective wisdom in human groups," TSE Working Papers 1101, Toulouse School of Economics (TSE).
    19. Jiexun Li & Xiaohui Chang, 2023. "Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media," Information Systems Frontiers, Springer, vol. 25(4), pages 1479-1493, August.
    20. Elizabeth Titilayo Aduloju, Ph.D, 2021. "Media and Information Literacy: A Critical Response to the Challenge of ‘Infodemic’ in the Covid-19 Pandemic Era in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(07), pages 15-24, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:5:y:2021:i:7:p:15-24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.